
Soft Computing-1
Authored by Debananda Kanhar
University
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15 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Compute the value of adding the following two fuzzy integers : A = {(0.3, 1), (0.6, 2), (1, 3), (0.7, 4), (0.2, 5)} B = {(0.5, 11), (1, 12), (0.5, 13)} Where fuzzy addition is defined as μA+B (z) = max x + y = z(min (μA(x), μB(x))) Then, f (A + B) is equal to
{(0.5, 12), (0.6, 13), (1, 14), (0.7, 15), (0.7, 16), (1, 17), (1, 18)}
{(0.5, 12), (0.6, 13), (1, 14), (1, 15), (1, 16), (1, 17), (1, 18)}
{(0.3, 12), (0.5, 13), (0.5, 14), (1, 15), (0.7, 16), (0.5, 17), (0.2, 18)}
{(0.3, 12), (0.5, 13), (0.6, 14), (1, 15), (0.7, 16), (0.5, 17), (0.2, 18)}
2.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
The membership functions are generally represented in
Tabular Form
Graphical Form
Mathematical Form
Logical Form
3.
MULTIPLE CHOICE QUESTION
20 sec • 1 pt
Three main basic features involved in characterizing membership function are
Intution, Inference, Rank Ordering
Fuzzy Algorithm, Neural network, Genetic Algorithm
Core, Support , Boundary
Weighted Average, center of Sums, Median
4.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
A fuzzy set whose membership function has at least one element x in the universe whose membership value
is unity is called
sub normal fuzzy sets
normal fuzzy set
convex fuzzy set
concave fuzzy set
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A fuzzy set wherein no membership function has its value equal to 1 is called
A.B.C.D.
normal fuzzy set
subnormal fuzzy set.
convex fuzzy set
concave fuzzy set
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Who initiated the idea of Soft Computing
A.B.C.D.
Charles Darwin
Lofti A Zadeh
Mc_Culloch
Rechenberg
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Core of soft Computing is....................
Fuzzy Computing, Neural Computing, Genetic Algorithms
Fuzzy Networks and Artificial Intelligence
Artificial Intelligence and Neural Science
Neural Science and Genetic Science
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